Results 21 to 30 of about 62,783 (309)
Binned Data Provide Better Imputation of Missing Time Series Data from Wearables
Sensors, 2023 The presence of missing values in a time-series dataset is a very common and well-known problem. Various statistical and machine learning methods have been developed to overcome this problem, with the aim of filling in the missing values in the data ...
Shweta Chakrabarti +6 more
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Graph Neural Networks for Metagenomic Binning [PDF]
, 2023 Most methods for metagenomic binning relysolely on the local properties of the individual contigs. Because of this, these techniques are unable to take advantage of the connections between contigs as established by the assembly graph.
Tibo, Alessandro +4 more
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Frontiers in Microbiology, 2023 IntroductionThe expanded granular sludge bed (EGSB) is a major form of anaerobic digestion system during wastewater treatment. Yet, the dynamics of microbial and viral communities and members functioning in nitrogen cycling along with monthly changing ...
Kun Zhang +7 more
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Angewandte Chemie International Edition, 2020 "My biggest motivation is to make a creative and significant contribution in several research fields … My favorite saying is to try our best without regret " Find out more about Bin Tan in his Author Profile.
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Cloud-SPAN NERC Metagenomics Course Session 5: Binning & Functional Annotation
, 2023 <p>In this lesson we will finish off our analysis by separating out the individual genomes into metagenome-assembled genomes (MAGs) using a process called binning. Binning can be done in lots of different ways but the general idea is to put all the
Forrester, Sarah +2 more
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To bin or not to bin: Decorrelating the cosmic equation of state [PDF]
Astroparticle Physics, 2008 The physics behind the acceleration of the cosmic expansion can be elucidated through comparison of the predictions of dark energy equations of state to observational data. In seeking to optimize this, we investigate the advantages and disadvantages of using principal component analysis, uncorrelated bandpowers, and the equation of state within ...
de Putter, Roland, Linder, Eric V.
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A comparison of single-coverage and multi-coverage metagenomic binning reveals extensive hidden contamination [PDF]
, 2023 Metagenomic binning has revolutionized the study of uncultured microorganisms. Here we compare single- and multi-coverage binning on the same set of samples, and demonstrate that multi-coverage binning produces better results than single-coverage binning
Jennifer Mattock +3 more
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SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline
Frontiers in Microbiology, 2019 The improvement of sequencing technologies has facilitated generalization of metagenomic sequencing, which has become a standard procedure for analyzing the structure and functionality of microbiomes.
Javier Tamames, Fernando Puente-Sánchez
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Chains-into-Bins Processes [PDF]
Journal of Discrete Algorithms, 2011 The study of {\em balls-into-bins processes} or {\em occupancy problems} has a long history. These processes can be used to translate realistic problems into mathematical ones in a natural way. In general, the goal of a balls-into-bins process is to allocate a set of independent objects (tasks, jobs, balls) to a set of resources (servers, bins, urns ...
Tugkan Batu +2 more
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Study on Supervised Learning Model for Optimal Histogram Solution [PDF]
Jisuanji kexue, 2023 The dynamic programming binning algorithm is currently used to realize the optimal histogram.However,its time complexity is too high.A supervised learning model based on ProbSparse self-attention is proposed in this paper to learn the dynamic programming
CHEN Yunliang, LIU Hao, ZHU Guishui, HUANG Xiaohui, CHEN Xiaodao, WANG Lizhe
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